code: def dataloader_batch_resize(
      data: DataLoader, batch_size, num_processes
  ):
      if num_processes == 1:
          return data
      if batch_size % num_processes != 0:
          warnings.warn(
              "'batch_size' cannot be divided with no remainder by "
              "'self.num_processes'. We got 'batch_size' = {} and "
              "'self.num_processes' = {}".format(
                  batch_size, num_processes
              )
          )
      batch_size = max(1, batch_size // num_processes)
      return DataLoader(data.dataset, batch_size=batch_size)
  
imports: import torch
  import torch.nn
  import warnings
  import random
  import numpy
  from torch.utils.data import TensorDataset, DataLoader
  import numpy
  import multiprocessing
  import warnings
  import math
label_desc: Use image node_id 11 for calling a global function with example usage: dataloader_batch_resize(data, batch_size, num_processes) and returns: DataLoader, data